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Feature learning and understanding : algorithms and applications /
Otros Autores: | |
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Formato: | Libro |
Lenguaje: | English |
Publicado: |
Cham, Switzerland :
Springer,
[2020].
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Colección: | Information fusion and data science
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Materias: |
Tabla de Contenidos:
- 1. A Gentle Introduction to Feature Learning
- 2. Latent Semantic Feature Learning
- 3. Principal Component Analysis
- 4. Local-Geometrical-Structure-based Feature Learning
- 5. Linear Discriminant Analysis
- 6. Kernel-based nonlinear feature learning
- 7. Sparse feature learning
- 8. Low rank feature learning
- 9. Tensor-based Feature Learning
- 10. Neural-network-based Feature Learning: Autoencoder
- 11. Neural-network-based Feature Learning: Convolutional Neural Network
- 12. Neural-network-based Feature Learning: Recurrent Neural Network.